Iot machine learning smart (297 risultati)

XVII, 998 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advances in Intelligent Systems and Computing, 1245. Sprache: Englisch.…

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New. pages cm.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Fine.

Condizione: New. In English.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New. pages cm First edition Includes bibliographical references and index.

Condizione: As New. Unread book in perfect condition.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: New. This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields.Features: Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applicationsCovers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applicationsDescribes how various methods are used to extract higher- level information from IoT- generated dataPresents the latest technologies and research findings on IoT for smart applicationsFocuses on how machine learning algorithms are used in various real- world smart applications and engineering problemsIt is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields.…

Condizione: As New. Unread book in perfect condition.

Condizione: New. pages cm.

Condizione: New.

Taschenbuch. Condizione: Neu. Neuware - Build AI That Thinks at the Edge-Not in the Cloud. What if you could build intelligent devices that recognize voices, classify images, detect motion, predict equipment failures, and automate real-world decisions-all on a low-cost ESP32 microcontroller ESP32 and TinyML from Beginner to Expert is your complete hands-on guide to mastering Edge AI and Embedded Machine Learning using the powerful ESP32 ecosystem. Whether you're a beginner exploring microcontrollers for the first time or an experienced developer looking to deploy production-ready TinyML applications, this book provides the practical knowledge and real-world projects needed to build intelligent embedded systems from the ground up. Instead of overwhelming you with theory, this book follows a step-by-step, project-driven approach that teaches you how to design, train, optimize, deploy, secure, and scale AI-powered IoT devices that make decisions locally-without relying on constant cloud connectivity. Inside this comprehensive guide, you'll learn how to: - Master ESP32 architecture, hardware, and development boards- Program ESP32 using Arduino IDE, ESP-IDF, and PlatformIO- Build TinyML applications with TensorFlow Lite Micro and Edge Impulse- Collect, clean, and prepare sensor data for machine learning- Train, optimize, quantize, and deploy lightweight AI models- Build computer vision systems with ESP32-CAM- Create voice recognition, keyword spotting, and audio intelligence applications- Develop gesture recognition and motion detection systems using IMU sensors- Design intelligent IoT solutions with Wi-Fi, MQTT, and cloud integration- Build smart home, industrial automation, predictive maintenance, healthcare, agriculture, and environmental monitoring projects- Optimize memory usage, improve inference speed, reduce power consumption, and extend battery life- Secure Edge AI devices with modern embedded security practices- Deploy OTA updates, manage AI model versions, and troubleshoot real-world TinyML systems- Build complete production-ready Edge AI applications with confidence>Whether your goal is to become an Embedded AI engineer, IoT developer, robotics enthusiast, electronics maker, researcher, engineering student, or professional developer, this book provides the roadmap to mastering one of today's fastest-growing technology fields. The future of AI isn't only in massive data centers-it's running on tiny devices at the edge.Start building the next generation of intelligent embedded systems today.…

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.